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README.md

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+---
+license: mit
+tags:
+  - kornia
+  - affine-shape-estimation
+  - feature-detection
+---
+
+# kornia/affnet
+
+Pretrained weights for **AffNet**,
+used by [`kornia.feature.LAFAffineShapeEstimator`](https://kornia.readthedocs.io/en/latest/feature.html).
+
+AffNet is a CNN that estimates the 2×2 affine shape matrix for a detected keypoint patch,
+making subsequent description invariant to affine transformations. Trained jointly with
+HardNet to maximise discriminability of affine-normalised patches. ECCV 2018.
+
+**Original repo:** [ducha-aiki/affnet](https://github.com/ducha-aiki/affnet)
+
+## Weights
+
+| File | Description |
+|------|-------------|
+| `AffNet.pth` | Default checkpoint |
+
+## Citation
+
+```bibtex
+@inproceedings{AffNet2018,
+    author    = {D. Mishkin and F. Radenovic and J. Matas},
+    title     = {{Repeatability is Not Enough}: Learning Affine Regions
+                 via Discriminability},
+    booktitle = {ECCV},
+    year      = {2018}
+}
+```